Senior Backend Engineer

About the role

We are looking for a senior backend engineer to help maintain and evolve a production platform that supports AI-powered language services.

This role is hands-on. You will work on backend services, async workflows, API integrations, message queues, Redis-based state management, and structured data outputs used for operational reporting and analytics. The platform connects with several external systems, including translation platforms, workflow tools, AI/LLM services, and internal business systems.

This is a good fit for someone who enjoys backend engineering in a real production environment: reliability, integration, edge cases, retries, observability, and pragmatic technical improvement. The role also includes a first step into technical leadership.

You may support one or two engineers through code reviews, pairing, technical guidance, and day-to-day engineering support.

Key Responsibilities

• Build, maintain, and improve backend services in a production environment. Work on async workflows using message queues, background jobs, retries, and failure handling.
• Integrate with external APIs, including AI/LLM services, translation platforms, workflow tools, and internal systems.
• Help manage workflow state across Redis, PostgreSQL, and related backend components.
• Contribute to structured data outputs used for reporting and analytics, including Snowflake where relevant. Improve reliability through better logging, monitoring, error handling, and operational visibility.
• Support deployment and release processes together with the wider engineering team.
• Refactor fragile areas, reduce technical debt, and improve test coverage where it matters.
• Review code and support one or two engineers on technical topics.
• Translate business requirements into clear engineering tasks with support from product and technical leadership.

Requirements

Must Have:

• 5+ years of backend engineering experience in production systems. Strong experience with backend APIs and service-to-service integrations.
• Experience with async processing, message queues, background jobs, retries, and idempotency.
• Good understanding of Redis, PostgreSQL, and backend state management.
• Strong SQL skills and ability to work with structured operational data.
• Experience with AWS, Docker and basic Kubernetes concepts.
• Ability to debug production issues across logs, APIs, queues, and databases.
• Practical and growth mindset: you can improve existing systems without over-engineering.

Nice to Have:

• Experience with RabbitMQ, Kafka, SQS, or similar.
• Experience with Kubernetes, Helm, autoscaling, or cloud deployments.
• Experience with Snowflake, BigQuery, Redshift, or other analytical databases.
• Experience integrating LLM APIs or AI services in production workflows.
• Experience with observability tools such as Datadog, OpenTelemetry, or structured logging.
• Experience in localization, translation workflows, XLIFF, CAT tools, or terminology systems.

Tech Experience:

• Backend: .NET / C# (for now; open to changes)
• Databases: PostgreSQL, Redis, Snowflake
• Messaging: RabbitMQ
• Infrastructure: Docker, Kubernetes, AWS EKS
• CI/CD: GitHub Actions
• Observability: Datadog
• AI/LLM: LLM APIs and workflow tools
• Integrations: translation platforms, workflow engines, enterprise APIs

You will contribute to an important production system, help make it more reliable, and gradually grow into more technical leadership responsibility.

Benefits

• A senior hands-on backend role in a real production environment.
• Exposure to AI integration in business-critical workflows.
• Opportunity to work on async systems, APIs, queues, state management, and reliability.
• A first step into technical leadership without moving away from engineering.
• The chance to support and mentor one or two engineers while continuing to build hands-on.
• A pragmatic environment where reliability, maintainability, and delivery matter.